An efficient and specific CRISPR-Cas9 genome editing system targeting soybean phytoene desaturase genes
Bibliographic record
Abstract
BACKGROUND: Genome editing by CRISPR/Cas9 has become a popular approach to induce targeted mutations for crop trait improvement. Soybean (Glycine max L. Merr.) is an economically important crop worldwide. Although gene editing has been demonstrated in soybean, its utilization in stably transformed plants through whole plant regeneration is still not widespread, largely due to difficulties with transformation or low mutation efficiencies. RESULTS: We sought to establish a simple, efficient, and specific CRISPR/Cas9 system to induce heritable mutations in soybean through stable transformation. We targeted phytoene desaturase (PDS) genes due to the distinctive dwarf and albino phenotypes of the loss of function mutant. To evaluate gene editing efficiency and specificity, three constructs targeting each of the two homologous soybean PDS genes specifically, as well as two constructs targeting both simultaneously with one guide RNA were created. Instead of using cotyledonary nodes from germinated seedlings, we used 'half-seed' explants derived from imbibed seeds for Agrobacterium-mediated transformation of cultivar Williams 82. Transformed plants for all five constructs were recovered. Dwarf and albino phenotypes were observed in transgenic plants harboring the constructs targeting both PDS genes. Gene editing at the desired loci was detected in the majority of T0 transgenic plants, with 75-100% mutation efficiencies. Indel frequencies varied widely among plants (3-100%), with those exhibiting visible mutant phenotypes showing higher frequencies (27-100%). Deletion was the predominant mutation type, although 1-nucleotide insertion was also observed. Constructs designed to target only one PDS gene did not induce mutation in the other homologous counterpart; and no mutation at several potential off-target loci was detected, indicating high editing specificity. Modifications in both PDS genes were transmitted to T1 progenies, including plants that were negative for transgene detection. Strong mutant phenotypes were also observed in T1 plants. CONCLUSIONS: Using simple constructs containing one guide RNA, we demonstrated efficient and specific CRISPR/Cas9-mediated mutagenesis in stably transformed soybean plants, and showed that the mutations could be inherited in progenies, even in plants that lost transgenes through segregation. The established system can be employed to edit other genes for soybean trait improvement.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".